Deep familiarity with a cloud-native, modern data engineering technology stack. Experience with data ingestion methods and tools. Experience with distributed computing frameworks (e.g., Hadoop, Spark, Hive, Presto). Experience with data orchestration tools. Experience with cloud data warehousing and core data modelling concepts. Proficiency in version control systems more »
South East London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
implement data models, ETL processes, and data warehousing solutions.Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines.Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing.Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark.Database Management: Handle more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
essential: -Proven experience as an Architect and excellent knowledge of Big Data -Great understanding of Cloud e.g. Azure and or AWS -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »
Months Location - Hybrid ( 2 days a week) JD : Experience of working with Streaming & Batch technology stack – Confluent Kafka, Mongdb , Streamsets, IBM CDC, Hive, Hadoop, API, Informatica, Airflow, and other similar technologies SME level skills and experience of designing/architecting test automation solutions, ability to creatively problem solve is more »
The following skills/experience is essential: -Proven experience as a Lead Big Data Engineer with excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »
scalability, and extensibility. The following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »
or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience more »
London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »
South East London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
essential:-Proven experience as an Architect and excellent knowledge of Big Data-Great understanding of Cloud e.g. Azure and or AWS-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private more »
London, England, United Kingdom Hybrid / WFH Options
Global Relay
JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery more »
South East London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
extensibility.The following skills/experience is essential:-Proven experience as a Lead Big Data Engineer with excellent knowledge of Big Data-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »
South East London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
following skills/experience is essential:-Proven experience as an Architect and excellent knowledge of Big Data-Excellence experience across Azure-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »
South East London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
management, scalability, and extensibility.The following skills/experience is essential:-Proven experience as an Architect and excellent knowledge of Big Data-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »
East London, London, United Kingdom Hybrid / WFH Options
Be Technology
scalable systems. Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, Ray, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Experience with CI/CD Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. Excellent more »